Chong LI-Department of Mechanical Engineering Tsinghua University

Chong LI

Name	LI Chong
Professional title	Assistant Professor
Office location	Lee shau kee sci&tech bldg. A1023
E-mail	chongli@tsinghua.edu.cn

Education background

Period	Education background
08/2011-06/2017	Ph.D. student, Dept. of Mechanical Engineering, Tsinghua University
10/2013-12/2016	Ph.D. student, Delft University of Technology (TUDelft), Netherlands
09/2007-07/2011	B.S.,, School of Technology, Beijing Forestry University

Experience

Period	Experience
10/2019-	Assistant Research Fellow, Dept. of Mechanical Engineering, Tsinghua University
07/2017-10/2019	Postdoc, Dept. of Mechanical Engineering, Tsinghua University

Areas of Research Interests/ Research Projects

Intelligent and Biomimetic Machinery

Rehabilitation engineering, human machine interaction, human augmentation

Papers and Patents

Selected Publications

1. Jia, T., Liu, K., Lu, Y., Liu, Y., Li, C.*, Ji, L., & Qian, C. (2020). Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals. IEEE Access, 8, 56060-56071.

2. Li C, Jia T, Xu Q, Ji L, Pan Y. (2019). Brain-computer interface channel-selection strategy based on analysis of event-related desynchronization topography in stroke patients. Journal of Healthcare Engineering, 2019:1-12.

3. Li W, Li C, Xu Q, Ji L. (2019). Effects of Focal Vibration over Upper Limb Muscles on the Activation of Sensorimotor Cortex Network: An EEG Study. Journal of Healthcare Engineering, 2019(2):1-7.

4. Li W, Li C, Xiang Y, Ji L, Hu H, Liu Y. (2019). Study of the activation in sensorimotor cortex and topological properties of functional brain network following focal vibration in healthy subjects and subacute stroke patients: an EEG Study. Brain research, 1722, 146338.

5. Li W, Li C, Xu Q, Guan X, Ji L. (2019). Influence of focal vibration over Achilles tendon on the activation of sensorimotor cortex in healthy subjects and subacute stroke patients. Neuroreport, Volume 2019

6. Jia T, Li C, Guan X, Ji L. (2019). Enhancing engagement during robot-assisted rehabilitation integrated with motor imagery task. 2019 International Conference on Intelligent Medicine and Health, Ningbo, China.

7. Li C, Jia T, Ji L. (2018). Investigation of the Effects of Game Difficulty on the Engagement Level of Patient with Brain Injuries during Rehabilitation Exercise. Proceedings of 2018 10th International Conference on Signal Processing Systems, Singapore.

8. Li, C., Rusák, Z., Horváth, I., Kooijman, A., & Ji, L. (2017). Implementation and validation of engagement monitoring in an engagement enhancing rehabilitation system. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 25(6), 726-738.

9. Liu, Y., Li, C., Ji, L., Bi, S., Zhang, X., Huo, J., & Ji, R. (2017). Development and Implementation of an End-Effector Upper Limb Rehabilitation Robot for Hemiplegic Patients with Line and Circle Tracking Training. Journal of Healthcare Engineering, 2017.

10. Li, C. (2016). Cyber-physical solution for an engagement enhancing rehabilitation system.

11. Li, C., Rusák, Z., Horváth, I., & Ji, L. (2016). Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities. Engineering Applications of Artificial Intelligence, 56, 185–199.

12. Li, C., Rusák, Z., Horváth, I., &Ji, L. (2016). Development of engagement evaluation method and learning mechanism in an engagement enhancing rehabilitation system. Engineering Applications of Artificial Intelligence, 51, 182-190.

13. Li, C., Rusák, Z., Horváth, I., & Ji, L. (2014). Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants. International Journal of Rehabilitation Research, 37(4), 334-342.

14. Li, C., Rusák, Z., Hou, Y., Young, C., & Ji, L. (2014). Upper limb motor rehabilitation integrated with video games focusing on training fingers’ fine movements. International Journal of Robotics and Automation, 29(4).

15. Li, C., Rusák, Z., Horváth, I., Ji, L., & Hou, Y. (2014). Current status of robotic stroke rehabilitation and opportunities for a cyber-physically assisted upper limb stroke rehabilitation. Proceedings of TMCE 2014, May 19-23, Budapest, Hungary.

16. Li, C., Rusák, Z., Horváth, I., Hou, Y., & Ji, L. (2014). Optimizing patients' engagement by a cyber-physical rehabilitation system. Informatik 2014.

17. Li, C., Liu, E., & Ji, L. (2013). Mechanical structure improvement of an upper limb rehabilitation robot: Based on an equivalent kinematic model. Journal of Mechanics in Medicine and Biology, 13(06), 1340021.

18. Li, C., Sui J., & Ji L. (2013). Lower limb rehabilitation robots: A review. In Proceedings of the World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China, Springer, Berlin Heidelberg, 2042-2045.

19. Jia, T., Qian, C., Li, C., Ji, L., Liu, A., Fang, B. (2020). Individualized channel-selection strategy-based brain-machine interaction rehabilitation training：A pilot study in clinical experiment. Qinghua Daxue Xuebao/Journal of Tsinghua University. (in Chinese)

20. Zhao, L., Li, C., Ji, L., Yang, T. (2019). Research on EEG Characteristics of MS Subjects in Automatic Driving Mode Based on Virtual Reality. Qinghua Daxue Xuebao/Journal of Tsinghua University. (in Chinese)

Honors And Awards

Period	Honors And Awards
2013.10	Grant from China Scholarship Council for pursuing Ph.D. degree at Delft University of Technology
2020.01	2019-2021 Young Elite Scientists Sponsorship Program by CAST

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